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<title>CEO Lineup</title>
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<th> Classifier name <th> Classifier syntax in Weka
<tr> <td colspan=2 align=center><b>For low-grain tasks (few classes):</b>
<tr><td> NB<td> weka.classifiers.bayes.NaiveBayes
<tr><td> BNet<td> weka.classifiers.bayes.BayesNet -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5

<tr><td> J48<td> weka.classifiers.trees.J48 -C 0.25 -M 2
<tr><td> CART<td> weka.classifiers.trees.SimpleCart -S 1 -M 2.0 -N 5 -C 1.0

<tr> <td colspan=2 align=center><b>For high-grain tasks (lots of classes):</b>

<tr><td> LibSVMlin<td> weka.classifiers.functions.LibSVM -S 0 -K 0 -D 1 -G 1.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.0010 -P 0.1
<tr><td> LibSVMpoly2<td> weka.classifiers.functions.LibSVM -S 0 -K 1 -D 2 -G 1.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.0010 -P 0.1
<tr><td> ENDbag10J48<td> weka.classifiers.meta.END -S 1 -I 10 -W weka.classifiers.meta.nestedDichotomies.ClassBalancedND -- -S 1 -W weka.classifiers.meta.Bagging -- -P 100 -S 1 -I 10 -W weka.classifiers.trees.J48 -- -M 2 -C 0.25
<tr><td> ENDbag10PART<td> weka.classifiers.meta.END -S 1 -I 10 -W weka.classifiers.meta.nestedDichotomies.ClassBalancedND -- -S 1 -W weka.classifiers.meta.Bagging -- -P 100 -S 1 -I 10 -W weka.classifiers.rules.PART -- -M 2 -C 0.25 -Q 1
<!-- <tr><td> SMOlin<td> weka.classifiers.functions.SMO -C 1.0 -L 0.0010 -P 1.0E-12 -N 0 -V -1 -W 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0"
<tr><td> SMOpoly2<td> weka.classifiers.functions.SMO -C 1.0 -L 0.0010 -P 1.0E-12 -N 0 -V -1 -W 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 2.0" -->
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<br><p> We will make the preselection ultimately automatic per dataset factors (BAS module, see description of CEO algorithm).

<!-- Full list of classifiers in Weka 3-5-6 in their default configurations: 
weka.classifiers.bayes.AODE
weka.classifiers.bayes.BayesNet -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5
weka.classifiers.bayes.ComplementNaiveBayes
weka.classifiers.bayes.HNB
weka.classifiers.bayes.NaiveBayes
weka.classifiers.bayes.NaiveBayesMultinomial
weka.classifiers.bayes.NaiveBayesSimple
weka.classifiers.bayes.NaiveBayesUpdateable
#weka.classifiers.bayes.WAODE

weka.classifiers.functions.GaussianProcesses
weka.classifiers.functions.IsotonicRegression
weka.classifiers.functions.LeastMedSq
weka.classifiers.functions.LibSVM
weka.classifiers.functions.LinearRegression
weka.classifiers.functions.Logistic
weka.classifiers.functions.MultilayerPerceptron
weka.classifiers.functions.PaceRegression
#weka.classifiers.functions.PLSClassifier
weka.classifiers.functions.RBFNetwork
weka.classifiers.functions.SMO
weka.classifiers.functions.SMOreg
#weka.classifiers.functions.SVMreg
weka.classifiers.functions.SimpleLinearRegression
weka.classifiers.functions.SimpleLogistic
weka.classifiers.functions.VotedPerceptron
weka.classifiers.functions.Winnow

weka.classifiers.lazy.IB1
#weka.classifiers.lazy.IBk
weka.classifiers.lazy.KStar
weka.classifiers.lazy.LBR
weka.classifiers.lazy.LWL

weka.classifiers.mi.CitationKNN
weka.classifiers.mi.MDD
weka.classifiers.mi.MIBoost
weka.classifiers.mi.MIDD
weka.classifiers.mi.MIEMDD
weka.classifiers.mi.MILR
weka.classifiers.mi.MINND
weka.classifiers.mi.MIOptimalBall
weka.classifiers.mi.MISMO
weka.classifiers.mi.MISVM
weka.classifiers.mi.MIWrapper
weka.classifiers.mi.SimpleMI
weka.classifiers.mi.TLD
weka.classifiers.mi.TLDSimple

weka.classifiers.misc.FLR
weka.classifiers.misc.HyperPipes
#weka.classifiers.misc.MinMaxExtension
#weka.classifiers.misc.OLM
#weka.classifiers.misc.OSDL
weka.classifiers.misc.VFI

weka.classifiers.rules.ConjunctiveRule
weka.classifiers.rules.DecisionTable
weka.classifiers.rules.JRip
weka.classifiers.rules.M5Rules
weka.classifiers.rules.NNge
weka.classifiers.rules.OneR
weka.classifiers.rules.PART
weka.classifiers.rules.Prism
weka.classifiers.rules.Ridor
weka.classifiers.rules.ZeroR

weka.classifiers.trees.ADTree
weka.classifiers.trees.DecisionStump
weka.classifiers.trees.Id3
weka.classifiers.trees.J48
weka.classifiers.trees.LMT
weka.classifiers.trees.M5P
weka.classifiers.trees.NBTree
weka.classifiers.trees.REPTree
weka.classifiers.trees.RandomForest
weka.classifiers.trees.RandomTree -->
 
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